AI Arms Race: Meta, Google, OpenAI Push Multimodal AI
Meta just dropped Llama 3.5 — faster, smaller, and smarter. It handles text, code, and images. Google is testing Gemini 1.5 Pro in Workspace with improved reasoning. OpenAI is working on GPT-5, aiming for better long-term memory and video support. The AI race is now about who gets multimodal tools to users first.
Threads Hits 175M Users
Instagram’s Threads app has crossed 175 million monthly active users in under a year. It's now Twitter’s main rival. Meta is doubling down with trending topics, real-time search, and repost tracking. Threads' growth is steady, though engagement still lags behind Twitter (X).
Apple’s AI Strategy: Private Cloud + On-Device
Apple is using a “Private Cloud Compute” model. Some AI runs on-device, some on Apple’s own servers — all with encrypted memory. Siri is finally getting smarter, backed by Apple Intelligence. iOS 18 will also support ChatGPT integration powered by OpenAI.
TikTok Tests 60-Minute Video Uploads
TikTok is pushing long-form video hard. It’s testing uploads up to 60 minutes. The move targets YouTube creators and makes TikTok a more serious content platform. This also aligns with their new ad tools for monetizing long-form content.
NVIDIA Hits $3 Trillion Market Cap
NVIDIA briefly became the world’s most valuable company. Its GPUs are now the backbone of AI infrastructure worldwide. Demand from cloud providers, startups, and enterprises keeps growing. Blackwell chips will roll out later this year — promising faster inference and lower energy use.
X (Twitter) Adds Job Listings
Elon Musk is turning X into a LinkedIn rival. Verified organizations can now post job listings. Users can apply directly inside the app. Musk wants X to be a “super app” — messaging, banking, hiring, content, all in one.
Open-Source Threat or Savior?
Developers are split. Open-source AI like Mistral, Mixtral, and Llama 3 are catching up to GPT-4. But they come with risks — security, misuse, and training on questionable data. Big tech firms are now building "safe" open models with usage restrictions.
India’s AI and Semiconductor Push
India approved $15 billion for AI research and local semiconductor fabs. New chip plants are coming to Gujarat and Tamil Nadu. The government is also launching a national AI platform to train 1 million workers. India wants to be a top 3 tech power by 2030.
Final Thought
Big tech is moving faster than regulators. AI, chips, social, and cloud tools are evolving daily. Stay sharp. Watch what’s shipping — not just what's hyped.